continents in the world have the region that are affected by the cyclone in
every year. To prevent the loss of life and their assets, cyclone prediction
is a major role because of directly related to the lives and household of
human being. Satellite images provide an excellent view of clouds which can
be used in weather forecasting and especially Infrared Red IR satellite
images play in many environmental applications. To find the tropical cyclone
TC center, the basic stage is to extract the main cloud of the cyclone. In
manual segmentation, selection of the storm region is complicated, time
consuming task and it also need the human experts for every time processing.
The semi and fully automatic storm detection is sophisticated and difficult process
because of the overlapping between boundaries of the cloud. Fuzzy C means FCM
clustering and morphological image processing is applied for segmentation
each infrared satellite images. The effectiveness is tested for infrared
cyclone image over Kalpana satellite which is obtained from the INSAT
satellite of India. 45 tropical cyclones are occurred during the period 1989
2014 over Bay of Bengal. Cyclones Nargis that mainly affected to Myanmar in 2
May 2008 as case study. Experimental results show that the high location
accuracy can be obtained.
By Thu Zar Hsan | Myint Myint Sein "Tropical
Cyclone Determination using Infrared Satellite Image"
International Journal of Trend in Scientific Research and Development
(ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019,